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[map ] Subject Area: Applied and Numerical Analysis Appl Deadline: 2025/09/15 11:59PM (posted 2025/08/05, listed until 2025/12/31) Position Description: Apply Position Description Doctoral and
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. This position provides an excellent opportunity for candidates who want to work at the forefront of developing the next generation of biological analysis tools, screening and neurological disease research in a
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The Leibniz Institute of Plant Biochemistry invites applications to fill the position of PostDoc Researcher for Metabolomic and Proteomic Analysis (m/f/d) (Salary group E13 TV-L,working hours 100
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, from September 2025 a Postdoctoral Researcher – Longitudinal Proteomic Analysis (Wet Lab & Data Science) Reference number: 2025-0174 The Division of Medical Physics in Radiation Oncology develops new
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of personalized solutions we offer. Welcome to the UKE. PhD position / Postdoc position (all genders) in AI for biomedical data analysis Part time | Temporary | Hamburg Eppendorf UKE_Zentrum für Molekulare
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Description Formal verification of cyber-physical systems is an enabler of critical technologies that potentially cause fatalities (e.g. crash of an automated vehicle) or huge economic costs (e.g. blackout of a
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, as well as the way memory, trauma and history are entangled. Job description: In close coordination with the project management and the other project members, the computer-assisted analysis
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. Involvement in immunology projects with single-cell transcriptomic data analysis. Bioinformatician/Computational Biologist/Systems Immunologist (f/div/m) for two years initially with a possibility of extension
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PostDoc in "Geopolitical dilemmas for management: transfer of governance for the Southern Ocean" ...
interdisciplinary experience has been gained (i.e., Ecology, Biology, Oceanography) Strong skills and evidenced experience in textual analysis (i.e., policy or discourse analysis) Knowledge of the marine social
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‐sharing agreements. Data analysis & interpretation: Process and interpret high‑throughput sequencing outputs to assess biodiversity patterns across multiple MPA sites. Comparative evaluation: Critically